Evidence map›Paper›PMID 29629178›Full record

ArticleBMJ open diabetes research & care2018

Diabetes risk score in the United Arab Emirates: a screening tool for the early detection of type 2 diabetes mellitus.

Nabil Sulaiman, Ibrahim Mahmoud, Amal Hussein, Salah Elbadawi, Salah Abusnana, Paul Zimmet, Jonathan Shaw

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 70 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Nabil SulaimanCollege of Medicine, University of Sharjah, Sharjah, United Arab Emirates.
Ibrahim MahmoudCollege of Medicine, University of Sharjah, Sharjah, United Arab Emirates.ORCID 0000-0002-5037-0208
Amal HusseinCollege of Medicine, University of Sharjah, Sharjah, United Arab Emirates.
Salah ElbadawiDubai Health Authority, Dubai, United Arab Emirates.
Salah AbusnanaCollege of Medicine, University of Sharjah, Sharjah, United Arab Emirates.
Paul ZimmetMonash University, Melbourne, Victoria, Australia.
Jonathan ShawBaker IDI Heart & Diabetes Institute, Melbourne, Victoria, Australia.ORCID 0000-0002-6187-2203
University of Sharjah · AEBaker Heart and Diabetes Institute · AUDubai Health Authority · AEMonash University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of this study was to develop a simple non-invasive risk score, specific to the United Arab Emirates (UAE) citizens, to identify individuals at increased risk of having undiagnosed type 2 diabetes mellitus. RESEARCH DESIGN AND

methodsA retrospective analysis of the UAE National Diabetes and Lifestyle data was conducted. The data included demographic and anthropometric measurements, and fasting blood glucose. Univariate analyses were used to identify the risk factors for diabetes. The risk score was developed for UAE citizens using a stepwise forward regression model.

resultsA total of 872 UAE citizens were studied. The overall prevalence of diabetes in the UAE adult citizens in the Northern Emirates was 25.1%. The significant risk factors identified for diabetes were age (≥35 years), a family history of diabetes mellitus, hypertension, body mass index ≥30.0 and waist-to-hip ratio ≥0.90 for males and ≥0.85 for females. The performance of the model was moderate in terms of sensitivity (75.4%, 95% CI 68.3 to 81.7) and specificity (70%, 95% CI 65.8 to 73.9). The area under the receiver-operator characteristic curve was 0.82 (95% CI 0.78 to 0.86).

conclusionsA simple, non-invasive risk score model was developed to help to identify those at high risk of having diabetes among UAE citizens. This score could contribute to the efficient and less expensive earlier detection of diabetes in this high-risk population.

Indexed as

epidemiologypreventionrisk analysis

Identifiers

PMID29629178
PMCPMC5884268
OpenAlexW2794651847

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.